Vijaya Krishna Yalavarthi

29 papers A* 4A 2B 3C 1Journal 15Unranked 4
YearRankTypeTitle / Venue / Authors
2026 J jnl
HPMixer: Hierarchical Patching for Multivariate Time Series Forecasting.
CoRR
Jung Min Choi, Vijaya Krishna Yalavarthi, Lars Schmidt-Thieme
2025 A* conf
Motif-aware Graph Neural Networks for Networked Time Series Imputation.
AAAI
Nourhan Ahmed, Vijaya Krishna Yalavarthi, Lars Schmidt-Thieme
2025 J jnl
Physiome-ODE: A Benchmark for Irregularly Sampled Multivariate Time Series Forecasting Based on Biological ODEs.
CoRR
Christian Klötergens, Vijaya Krishna Yalavarthi, Randolf Scholz, Maximilian Stubbemann, Stefan Born, Lars Schmidt-Thieme
2025 A* conf
Physiome-ODE: A Benchmark for Irregularly Sampled Multivariate Time-Series Forecasting Based on Biological ODEs.
ICLR
Christian Klötergens, Vijaya Krishna Yalavarthi, Randolf Scholz, Maximilian Stubbemann, Stefan Born, Lars Schmidt-Thieme
2025 A* conf
Probabilistic Forecasting of Irregularly Sampled Time Series with Missing Values via Conditional Normalizing Flows.
AAAI
Vijaya Krishna Yalavarthi, Randolf Scholz, Stefan Born, Lars Schmidt-Thieme
2025 A conf
TabResFlow: A Normalizing Spline Flow Model for Probabilistic Univariate Tabular Regression.
ECAI
Kiran Madhusudhanan, Vijaya Krishna Yalavarthi, Jonas Sonntag, Maximilian Stubbemann, Lars Schmidt-Thieme
2025 J jnl
TabResFlow: A Normalizing Spline Flow Model for Probabilistic Univariate Tabular Regression.
CoRR
Kiran Madhusudhanan, Vijaya Krishna Yalavarthi, Jonas Sonntag, Maximilian Stubbemann, Lars Schmidt-Thieme
2025 J jnl
The Role of Active Learning in Modern Machine Learning.
CoRR
Thorben Werner, Lars Schmidt-Thieme, Vijaya Krishna Yalavarthi
2024 J jnl
Are EEG Sequences Time Series? EEG Classification with Time Series Models and Joint Subject Training.
CoRR
Johannes Burchert, Thorben Werner, Vijaya Krishna Yalavarthi, Diego Coello de Portugal, Maximilian Stubbemann, Lars Schmidt-Thieme
2024 — conf
Functional Latent Dynamics for Irregularly Sampled Time Series Forecasting.
ECML/PKDD (4)
Christian Klötergens, Vijaya Krishna Yalavarthi, Maximilian Stubbemann, Lars Schmidt-Thieme
2024 J jnl
Functional Latent Dynamics for Irregularly Sampled Time Series Forecasting.
CoRR
Christian Klötergens, Vijaya Krishna Yalavarthi, Maximilian Stubbemann, Lars Schmidt-Thieme
2024 A* conf
GraFITi: Graphs for Forecasting Irregularly Sampled Time Series.
AAAI
Vijaya Krishna Yalavarthi, Kiran Madhusudhanan, Randolf Scholz, Nourhan Ahmed, Johannes Burchert, Shayan Jawed, Stefan Born, Lars Schmidt-Thieme
2024 J jnl
Marginalization Consistent Mixture of Separable Flows for Probabilistic Irregular Time Series Forecasting.
CoRR
Vijaya Krishna Yalavarthi, Randolf Scholz, Kiran Madhusudhanan, Stefan Born, Lars Schmidt-Thieme
2024 J jnl
Probabilistic Forecasting of Irregular Time Series via Conditional Flows.
CoRR
Vijaya Krishna Yalavarthi, Randolf Scholz, Stefan Born, Lars Schmidt-Thieme
2023 B conf
Forecasting Early with Meta Learning.
IJCNN
Shayan Jawed, Kiran Madhusudhanan, Vijaya Krishna Yalavarthi, Lars Schmidt-Thieme
2023 J jnl
Forecasting Early with Meta Learning.
CoRR
Shayan Jawed, Kiran Madhusudhanan, Vijaya Krishna Yalavarthi, Lars Schmidt-Thieme
2023 J jnl
Forecasting Irregularly Sampled Time Series using Graphs.
CoRR
Vijaya Krishna Yalavarthi, Kiran Madusudanan, Randolf Scholz, Nourhan Ahmed, Johannes Burchert, Shayan Jawed, Stefan Born, Lars Schmidt-Thieme
2023 B conf
Tripletformer for Probabilistic Interpolation of Irregularly sampled Time Series.
IEEE Big Data
Vijaya Krishna Yalavarthi, Johannes Burchert, Lars Schmidt-Thieme
2022 B conf
DCSF: Deep Convolutional Set Functions for Classification of Asynchronous Time Series.
DSAA
Vijaya Krishna Yalavarthi, Johannes Burchert, Lars Schmidt-Thieme
2022 J jnl
DCSF: Deep Convolutional Set Functions for Classification of Asynchronous Time Series.
CoRR
Vijaya Krishna Yalavarthi, Johannes Burchert, Lars Schmidt-Thieme
2022 — conf
Open Set Recognition for Time Series Classification.
PAKDD (2)
Tolga Akar, Thorben Werner, Vijaya Krishna Yalavarthi, Lars Schmidt-Thieme
2022 J jnl
Tripletformer for Probabilistic Interpolation of Asynchronous Time Series.
CoRR
Vijaya Krishna Yalavarthi, Johannes Burchert, Lars Schmidt-Thieme
2019 — conf
Gait Verification using Deep Learning with a Pairwise Loss.
BIOSIG
Vijaya Krishna Yalavarthi, Josif Grabocka, Hareesh Mandalapu, Lars Schmidt-Thieme
2018 J jnl
A Demonstration of PERC: Probabilistic Entity Resolution With Crowd Errors.
Proc. VLDB Endow.
Xiangyu Ke, Michelle Teo, Arijit Khan, Vijaya Krishna Yalavarthi
2018 J jnl
Fast Influence Maximization in Dynamic Graphs: A Local Updating Approach.
CoRR
Vijaya Krishna Yalavarthi, Arijit Khan
2018 — conf
Steering Top-k Influencers in Dynamic Graphs via Local Updates.
IEEE BigData
Vijaya Krishna Yalavarthi, Arijit Khan
2017 J jnl
Probabilistic Entity Resolution with Imperfect Crowd.
CoRR
Vijaya Krishna Yalavarthi, Xiangyu Ke, Arijit Khan
2017 A conf
Select Your Questions Wisely: For Entity Resolution With Crowd Errors.
CIKM
Vijaya Krishna Yalavarthi, Xiangyu Ke, Arijit Khan
2016 C conf
A Novel Incremental Class Learning Technique for Multi-class Classification.
ISNN
Meng Joo Er, Vijaya Krishna Yalavarthi, Ning Wang, Rajasekar Venkatesan